Data Privacy Integration Service for Multi-Application Redistribution
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Solution Overview
Problem
In complex multi-application landscapes, existing data privacy integration services face challenges in efficiently managing data privacy across multiple systems, particularly in aligning end-of-purpose protocols and disassociating purposes from master data objects, leading to inefficiencies and compliance issues due to distributed end-of-purpose checks and replication challenges.
Innovation Solution
The implementation of an integrated end-of-purpose protocol and an aligned purpose disassociation protocol, which utilize voting and blocking responder groups to ensure synchronized blocking and disassociation of data across multiple applications, along with a data privacy integration service that coordinates these processes to maintain data consistency and compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If distributed end-of-purpose checks are performed across multiple applications, then data privacy compliance is improved, but system complexity and coordination overhead increase
Solution Approach 1:
A central coordinator service is introduced as an intermediary between multiple applications. This coordinator receives end-of-purpose notifications from applications, manages the voting process, and coordinates the blocking operations. By centralizing the coordination logic, the system achieves reliable data privacy compliance without requiring complex peer-to-peer coordination between applications, thus resolving the contradiction between compliance reliability and system complexity.
2Measurement precision
If multiple voting responder groups are used for data privacy integration, then voting accuracy and compliance are improved, but processing time and operational complexity increase
Solution Approach 1:
The system segments applications into multiple voting responder groups based on their data privacy configurations and voting behaviors. Each group processes votes independently and in parallel, allowing the system to maintain high voting accuracy through comprehensive evaluation while reducing overall processing time through concurrent execution. This segmentation resolves the contradiction by organizing the voting process into manageable, parallelizable units.
3Stability of the object's composition
If synchronized blocking operations are performed across all applications, then data consistency is improved, but processing speed and productivity decrease
Solution Approach 1:
The system performs preliminary actions by sending blocking commands to applications in advance and preparing the blocking state before actual data processing needs to occur. Applications are pre-configured with blocking logic and can execute synchronized blocking operations rapidly when triggered, ensuring data consistency while minimizing the actual time spent in blocking state. This preliminary preparation resolves the contradiction between consistency and processing speed.
4Reliability
If comprehensive purpose disassociation is implemented across multiple applications, then regulatory compliance is improved, but operational complexity and resource consumption increase
Solution Approach 1:
The system implements a universal purpose disassociation mechanism that can be applied across multiple applications with different data privacy requirements. The central coordinator service provides a unified interface for managing purpose disassociation, while applications can participate based on their specific configurations. This multi-functional approach allows comprehensive regulatory compliance to be achieved through a single coordinated process rather than requiring separate complex disassociation logic in each application.
Data Source
AI summary
The present disclosure involves systems, software, and computer implemented methods for integrated data privacy services. An example method includes determining, by a data privacy integration service, a condition that has occurred from performing a data privacy integration protocol that indicates that a first object is to be redistributed to applications in a multiple-application landscape. Application responder group configurations are identified that group the applications into multiple redistribution responder groups for performing redistribution operations for an object type of the first object in response to redistribution requests. A redistribution command to redistribute the first object is sent to each application in a first redistribution responder group. If all redistribution statuses received from applications in the first redistribution responder group indicate successful redistribution of the first object, the redistribution command is sent to each application in a second redistribution responder group.